High payload image steganography scheme with minimum distortion based on distinction grade value method

Taha, Mustafa Sabah; Rahem, Mohd Shafry Mohd; Hashim, Mohammad; Khalid, Hiyam N.

doi:10.1007/s11042-022-12691-9

Cited by 22 publications

(10 citation statements)

References 46 publications

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“…A suitable length or fragment of the text stream makes the system more reliable and robust. Fragment methods are detailed in [23]. The main goal of the Huffman coding algorithm is to reduce the size of the text before embedding it in the image.…”

Section: Huffman Codingmentioning

confidence: 99%

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A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

Jabbar¹,

Issa²

2023

IJEECS

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<span lang="EN-US">Nowadays, secure transmission massive volumes of medical data (such as COVID-19 data) are crucial but yet difficult in communication between hospitals. The confidentiality and integrity are two concerning challenges must be addressing to healthcare data. Also, the data availability challenge that related to network fail which may reason concerns to the arrival the COVID-19 data. The second challenge solved with the different tools such as virtual privet network (VPN) or blockchain technology. Towards overcoming the aforementioned for first challenges, a new scheme based on crypto steganography is proposed to secure updating (COVID-19) data. Three main contributions have been consisted within this study. The first contribution is responsible to encrypt the COVID-19 data prior to the embedding process, called hybrid cryptography (HC). The second contribution is related with the security in random blocks and pixels selection in hosting image. Three iterations of the Hénon Map function used with this contribution. The last contribution called inversing method which used with embedding process. <span>Three important measurements were used the peak signal-to-noise ratio (PSNR), the Histogram analysis and structural similarity index measure (SSIM). Based on the findings, the present scheme gives evidence to increase capacity, imperceptibility, and security to ovoid the existing methods problem.</span></span>

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Section: Huffman Codingmentioning

confidence: 99%

“…The main process of the Huffman algorithm depends on reducing frequent letters and giving them priority codes or short paths in a Huffman tree. Taha et al, [23], the authors illustrate strategies for reducing text frequency (redundancy) through Huffman coding.…”

Section: Huffman Codingmentioning

confidence: 99%

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

Jabbar¹,

Issa²

2023

IJEECS

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“…And in the third stage, they presented an improved hiding method by randomly selecting blocks/pixels and integrating with Distinction grade value and generating an implicit encryption key to increase the imperceptibility of the scheme. 51 Table 1 shows the comparison of privacy protection methods based on technique, method, use of chaotic map, key and their type of application.…”

Section: Related Workmentioning

confidence: 99%

“…In the second step, they used the Fibonacci analysis method to improve the image strength. And in the third stage, they presented an improved hiding method by randomly selecting blocks/pixels and integrating with Distinction grade value and generating an implicit encryption key to increase the imperceptibility of the scheme 51 …”

Section: Related Workmentioning

confidence: 99%

Privacy‐preserving in the smart healthcare system using steganography and chaotic functions based on DNA

Esmaeelzadeh Rostam,

Motameni,

Enayatifar

2023

Security and Privacy

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The smart healthcare system is one of the Internet of Things‐based applications that are increasingly used nowadays. One of the requirements of this system is privacy‐preserving, which should protect the disclosure of the patient record contents. In the present paper, a combination of chaotic functions and a new DNA‐based steganography method, and image blocking are suggested to protect patients' privacy‐preserving. First, the image is blocked, and the initial key for the chaotic function will be gained by using the centers of the blocks. Then the data and image are transformed into DNA sequences. Finally, one of the randomly chosen DNA strands of data is XOR with the center of one randomly selected block and will be placed in one of the block pixels. The failure to send the initial key separately to generate random numbers, as well as the random selection of secret data bits and image pixels for steganography has increased the security of the proposed method. The simulation results not only indicate the quality of the stego‐image but also show better performance of the proposed method than the existing methods.

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“…Third-party attacking of data is a risk. This circumstance means that attackers can reach the sender's data in many ways leading to the possibility of malicious threats, eavesdropping, and other malicious activities [2]. Three common techniques are used in this field to ensure data security and privacy: steganography, cryptography, and the watermarking technique.…”

Section: Introductionmentioning

confidence: 99%

High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

Hameed¹,

Mokri²,

Taha³

et al. 2022

IJACSA

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Data security is becoming an important issue because of the vast use of the Internet and data transfer from one place to another. Security of these data is essential, especially when these data represent critical information. There are several techniques used to hide these data, such as encryption. Steganography can be utilised as an alternative to encryption because encryption is susceptible to data modification during transmission. Steganography is the hiding data on a cover multimedia such as images, audio, and video. The technique allows security for data transmission so unwanted third parties cannot notice the hidden data. The challenge of steganography is the trade-off between the hidden data's payload capacity and the system's imperceptibility and robustness. If the hidden data increases, the imperceptibility and the robustness will be decreased. This case is a big challenge in this digital world where social media, Internet, and data transfer are used hugely. Because of this, this paper proposes using a modified Least Significant Bit (LSB) method for the embedding process called Multi-Layer Least Significant Bit Exchange Method (MLLSBEM). This proposed algorithm uses the AES encryption method to encrypt the secret text and then uses Huffman coding to compress the encrypted message as pre-processing data. The proposed study seeks to strike a compromise between important issues, provide maximum payload capacity, and retain high security, imperceptibility, and reliability for secret communication Using image processing and steganography techniques. Simulation findings demonstrate that the suggested method is superior for existing PSNR, SSIM, NCC, and payload capacity investigations. The proposed method is immune to the histogram, chi-square, and HVS attacks.

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High payload image steganography scheme with minimum distortion based on distinction grade value method

Cited by 22 publications

References 46 publications

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

Privacy‐preserving in the smart healthcare system using steganography and chaotic functions based on DNA

High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

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